利用LSB替换技术和自适应图像融合实现信息隐藏

S. Lakshmipriya, K. Namitha, Natha Manoj Kumar, Neela Niranjani Vengateshwaran
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引用次数: 0

摘要

隐写术是信息隐藏的一个分支,它允许人们以一种安全的方式进行通信。为了提高发送信息的保密性,本文结合了两种技术:1)在图像中隐藏文本信息的LSB替换技术;2)迭代图像融合算法。融合算法的目的是选择一个最优的载体图像与包含隐藏文本的输入图像融合。结果表明,最终图像的PSNR值有所增加。并从三个方面进行对比分析:1)融合前后的PSNR值;2)使用最优载体与随机载体图像的效果;3)不同长度输入文本信息的影响及相应的PSNR值变化。通过这三种情况,我们可以证明最终图像与最优载体图像融合后的PSNR值有所增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Information hiding using LSB replacement technique and adaptive image fusion
Steganography is a branch of information hiding which allows people to communicate in a secure way. To increase confidentiality in sending information, our paper combines two techniques: 1) the LSB replacement technique for hiding text messages in an image; 2) an iterative image fusion algorithm. The fusion algorithm aims at choosing an optimal carrier image to be fused with an input image containing the hidden text. The results show an increase in the PSNR value for the final image. Also, a comparative analysis is done in three ways: 1) PSNR values before and after fusion; 2) effects of using an optimum carrier versus a random carrier image; 3) effects of varying lengths of input text messages and the corresponding changes in PSNR values. From the three cases, we are able to prove that the PSNR value of the final image is increased after fusion with an optimal carrier image.
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